Engineer,Senior Staff -Machine Learning

General Summary:

As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Machine Learning for EDA Systems

Minimum Experience: 10-15 years in software development for EDA tools

Role Overview

We are looking for a Staff Software Engineer with a minimum of 10-15 years experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will design, develop, and validate software for cutting-edge initiatives that fuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows.

Key Responsibilities

• Design and develop end-to-end ML-integrated EDA software platforms built for scale, performance, and adaptability.
• Develop software development processes, embedding best practices and agility across teams.
• Perform advanced algorithm design tailored for automation and optimization in EDA flows.
• Engineer reliable and scalable data pipelines to fuel ML model development and inference.
• Develop full-stack deployment strategies, enabling ML applications to function across diverse environments.
• Execute system integration and testing initiatives, ensuring seamless operability across large systems.
• Ensure reliability and scalability of large system deployments for high-performance compute platforms.

Required Skills & Experience

• Experience in software development, with a focus on architecture for ML and EDA tools.
• Proven ability to deliver software across diverse domainsML, systems engineering, or infrastructure.
• Strong coding chops in Python, C++, and frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Solid grasp of CI/CD tools (e.g., GitLab, Jenkins) and MLOps platforms (e.g., MLflow, Kubeflow).
• Sharp communication and leadership skills, with a track record of cross-functional collaboration.

Preferred Qualifications

• MS or PhD in Computer Science, Electrical Engineering, or a related field.
• Expertise in advanced ML techniquese.g., graph neural networks or reinforcement learning applied to EDA.
• Contributions to open-source, patents, or technical publications related to ML-driven design automation.